Artificial intelligence (AI) has been described as one of the extremely effective and promising
scientific tools available to mankind. AI and its associated innovations are becoming more …

The use of artificial intelligence (AI) systems in biomedical and clinical settings can disrupt
the traditional doctor–patient relationship, which is based on trust and transparency in …

The initial nutritional delivery policy for patients with sepsis admitted to the intensive care
unit (ICU) has not been fully elucidated. We aimed to determine whether an initial adequate …

Background The relationship between obesity and bone mineral density (BMD) varies in
different studies. Our aim in this study was to explore the association between obesity (body …

Nav1. 5 sodium channels contribute to the generation of the rapid upstroke of the myocardial
action potential and thereby play a central role in the excitability of myocardial cells. At …

Drug-drug interactions account for up to 30% of adverse drug reactions. Increasing
prevalence of electronic health records (EHRs) offers a unique opportunity to build machine …

Minimal residual disease (MRD) detection is a strong predictor for survival and relapse in
acute myeloid leukemia (AML). MRD can be either determined by molecular assessment …

With the exponential growth of medical data, Machine Learning (ML) algorithms are
becoming increasingly important to the management and organization of healthcare …

Aim To develop and validate a risk assessment model (RAM) of venous thromboembolism
(VTE) in hospitalized Chinese patients. Methods We reviewed data from 300 patients with …

Background: Persistent postsurgical neuropathic pain (PPSNP) can occur after
intraoperative damage to somatosensory nerves, with a prevalence of 29–57% in breast …